3 ai scientist jobs at 3 companies in Gardner, KS

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Sr Data & AI Scientist
Leawood or United States
$151k-$216k/yr HybridFull Time
Ascend Learning
Ascend Learning: Private healthcare learning technology providing educational content, software, assessments and certification tools for students and professionals.
7+ YOEMaster's degree in a quantitative field and 7+ years of industry experience in data science, machine learning, and AI. Requires advanced data science tooling, generative AI, databases, statistics, and visualization expertise.
Python, NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML, Claude, Snowflake, Headspace, Airvet
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Data Scientist II - Applied AI (5031)
Kansas City, Missouri, United States
OnsiteFull Time
Honeywell Federal Manufacturing & Technologies
Honeywell Federal Manufacturing & Technologies: Manufactures nonnuclear components for national security.
2+ YOE2+ years data science experience or BS in engineering/data science (or 2 years experience in lieu), U.S. citizenship, ability to obtain DOE security clearance, strong ML/AI and software‑engineering skills.
Spark, Kafka, Git, Azure, AWS, LLMs, NLP, RAG, CI/CD
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Senior Data Scientist
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$87k-$294k/yr HybridFull Time
Accenture
AccentureNYSE: ACN: Global professional services delivering 360° value.
6+ YOE6+ years in data science, AI, analytics, Responsible AI, or consulting; bachelor's or master's in a quantitative field; Python, SQL, machine learning, generative AI, governance, and client leadership experience.
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, SQL, MLOps, GenAIOps, LLMOps, AWS, Microsoft Azure, Google Cloud